AI Research Engineer

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, C++, SQL, Deep Learning, PyTorch, TensorFlow, Linux Operating system, VR/AR frameworks, Algorithm intelligence

Job Description

Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products.

Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for mid-term or long-term time frames.

May research to define boundaries, create proof of concepts, or prototype new ideas.

Intel IOTG ODT in Korea is looking for an AI Research Engineer/Scientist. This position requires computer science and an understanding of deep learning and/or machine learning knowledge.

In this role, you will work to develop Intel's open-source programs OTE (OpenVINO Training Extension) and MPA (Model Preparation Algorithm) solution and framework, and you will work with a passionate, product-focused cross international team to research, rapidly prototype, and ship next-generation deep learning products as a part of Intel AI programs.

Your responsibilities include:

• Un/Weakly/Self/Semi-Supervised learning algorithm research and development
• Continual/Active learning method research and development
• Computer Vision algorithm research and development
• Deep Learning training backend improvement
• Benchmarking with an emphasis on algorithmic performance and power efficiency

Qualifications

Key Qualifications

• Understanding of state-of-the-art deep learning theories, techniques, architectures, and optimization strategies
• More than 4 years (Ph.D. case 1+ years) experience in deep learning research and development
• Excellent problem solving and algorithm design skills
• Excellent communication skills
• Experience working with one or more deep learning frameworks such as TensorFlow, PyTorch, Caffe, and MxNet
• Strong programming skills with Python and C/C++
• Experiences in programming and testing in Linux environment

Preferred Qualifications

• PhD. in Deep learning related subject is preferred
• Two or more scientific publications in deep learning, computer vision, and computer science
• Experience optimizing deep networks for efficient training and/or inference
• Familiar with OOP design patterns and unit testing
• Familiar with MLaaS

Education

• MS or Ph.D. degree in Computer Science or related area.

Additional Notes

• In this role, you will work in the hybrid working model (onsite + working from home). You will be working from home, but you will be present on-site on demand.

Inside this Business Group

The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.